calc_relative: Calculate relative performance criteria and MCSE

In simhelpers: Helper Functions for Simulation Studies

Calculate relative performance criteria and MCSE

Description

Calculates relative bias, mean squared error (relative mse), and root mean squared error (relative rmse). The function also calculates the associated Monte Carlo standard errors.

Usage

calc_relative(
  res_dat,
  estimates,
  true_param,
  perfm_criteria = c("relative bias", "relative mse", "relative rmse")
)

Arguments

res_dat	data frame or tibble containing the simulation results.
estimates	name of the column containing the estimates.
true_param	name of the column containing the true parameters.
perfm_criteria	character or character vector indicating the performance criteria to be calculated.

Value

A tibble containing the number of simulation iterations, performance criteria estimate(s) and the associated MCSE.

Examples

calc_relative(res_dat = t_res, estimates = est, true_param = true_param)

simhelpers documentation built on May 4, 2022, 1:05 a.m.